How to use the Keyword Clustering Tool.
Cluster by the result a searcher needs, not just shared words. Keep ambiguous queries separate until their search results or customer context clarify the intent.
Make the workflow fit your task.
Group queries by the action or answer a visitor expects. Compare modifiers and supplied search results, then assign one destination to equivalent needs while leaving genuinely different outcomes in separate clusters.
- What you provide
- User-supplied keyword list.
- What you get
- Search-intent clusters and suggested page groups.
See the input and the result.
Illustrative input and output · a teaching example, not a live WebAct run
Example input
Keywords: clean CSV, remove CSV whitespace, convert CSV to JSON.
Completed example
Group the first two around CSV cleanup; keep format conversion as a separate task.
Load this input into the prompt, then copy it to WebAct to try the task. Your result may differ from the illustration.
Decisions and troubleshooting.
Should keywords sharing a noun always share a page?
No. CSV cleanup and CSV conversion involve different results despite shared vocabulary. Compare what the visitor wants to accomplish.
What if a keyword fits two clusters?
Mark the ambiguity and inspect representative results or customer questions. Avoid forcing a classification from wording alone.
Try it with your own source.
Replace the example with your material in the task prompt. Keep the requirements you need, then copy the task into WebAct.
Customize and copy the task ↑